


'''simple docstring'''






from __future__ import annotations

from collections.abc import Sequence
from typing import Literal


def    _snake_case  (	A					,       A			)		->       str | Literal[False]:
							lowerCAmelCase__			  =      list(A			)
							lowerCAmelCase__			  =      list(A			)
							lowerCAmelCase__			  =      0
							for i in range(len(A			)			):
														if lista[i] != lista[i]:
																					count += 1
																					lowerCAmelCase__			  =      '''_'''
							if count > 1:
														return False
							else:
														return "".join(A			)


def    _snake_case  (	A			)		->       list[str]:
							lowerCAmelCase__			  =      []
							while True:
														lowerCAmelCase__			  =      ['''$'''] * len(A			)
														lowerCAmelCase__			  =      []
														for i in range(len(A			)			):
																					for j in range(i + 1					,       len(A			)			):
																												lowerCAmelCase__			  =      compare_string(binary[i]					,       binary[j]			)
																												if k is False:
																																			lowerCAmelCase__			  =      '''*'''
																																			lowerCAmelCase__			  =      '''*'''
																																			temp.append('''X'''			)
														for i in range(len(A			)			):
																					if checka[i] == "$":
																												pi.append(binary[i]			)
														if len(A			) == 0:
																					return pi
														lowerCAmelCase__			  =      list(set(A			)			)


def    _snake_case  (	A					,       A			)		->       list[str]:
							lowerCAmelCase__			  =      []
							for minterm in minterms:
														lowerCAmelCase__			  =      ''''''
														for _ in range(A			):
																					lowerCAmelCase__			  =      str(minterm % 2			) + string
																					minterm //= 2
														temp.append(A			)
							return temp


def    _snake_case  (	A					,       A					,       A			)		->       bool:
							lowerCAmelCase__			  =      list(A			)
							lowerCAmelCase__			  =      list(A			)
							lowerCAmelCase__			  =      0
							for i in range(len(A			)			):
														if lista[i] != lista[i]:
																					count_n += 1
							return count_n == count


def    _snake_case  (	A					,       A			)		->       list[str]:
							lowerCAmelCase__			  =      []
							lowerCAmelCase__			  =      [0] * len(A			)
							for i in range(len(chart[0]			)			):
														lowerCAmelCase__			  =      0
														lowerCAmelCase__			  =      -1
														for j in range(len(A			)			):
																					if chart[j][i] == 1:
																												count += 1
																												lowerCAmelCase__			  =      j
														if count == 1:
																					lowerCAmelCase__			  =      1
							for i in range(len(A			)			):
														if select[i] == 1:
																					for j in range(len(chart[0]			)			):
																												if chart[i][j] == 1:
																																			for k in range(len(A			)			):
																																										lowerCAmelCase__			  =      0
																					temp.append(prime_implicants[i]			)
							while True:
														lowerCAmelCase__			  =      0
														lowerCAmelCase__			  =      -1
														lowerCAmelCase__			  =      0
														for i in range(len(A			)			):
																					lowerCAmelCase__			  =      chart[i].count(1			)
																					if count_n > max_n:
																												lowerCAmelCase__			  =      count_n
																												lowerCAmelCase__			  =      i

														if max_n == 0:
																					return temp

														temp.append(prime_implicants[rem]			)

														for i in range(len(chart[0]			)			):
																					if chart[rem][i] == 1:
																												for j in range(len(A			)			):
																																			lowerCAmelCase__			  =      0


def    _snake_case  (	A					,       A			)		->       list[list[int]]:
							lowerCAmelCase__			  =      [[0 for x in range(len(A			)			)] for x in range(len(A			)			)]
							for i in range(len(A			)			):
														lowerCAmelCase__			  =      prime_implicants[i].count('''_'''			)
														for j in range(len(A			)			):
																					if is_for_table(prime_implicants[i]					,       binary[j]					,       A			):
																												lowerCAmelCase__			  =      1

							return chart


def    _snake_case  (	)		->       None:
							lowerCAmelCase__			  =      int(input('''Enter the no. of variables\n'''			)			)
							lowerCAmelCase__			  =      [
							    float(A			)
							    for x in input(
							        '''Enter the decimal representation of Minterms \'Spaces Separated\'\n'''			).split()
							]
							lowerCAmelCase__			  =      decimal_to_binary(A					,       A			)

							lowerCAmelCase__			  =      check(A			)
							print('''Prime Implicants are:'''			)
							print(A			)
							lowerCAmelCase__			  =      prime_implicant_chart(A					,       A			)

							lowerCAmelCase__			  =      selection(A					,       A			)
							print('''Essential Prime Implicants are:'''			)
							print(A			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__snake_case				:      int   		=			{
    """configuration_llama""": ["""LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LlamaConfig"""],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case				:      int   		=			["""LlamaTokenizer"""]

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case				:      int   		=			["""LlamaTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case				:      Union[str, Any]   		=			[
	    """LlamaForCausalLM""",
	    """LlamaModel""",
	    """LlamaPreTrainedModel""",
	    """LlamaForSequenceClassification""",
	]


if TYPE_CHECKING:
	from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_llama import LlamaTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_llama_fast import LlamaTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
	import sys

	__snake_case				:      Dict   		=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


